
Super Data Science: ML & AI Podcast with Jon Krohn 013: 95% Accuracy Models, Winning People Over, and Saving Lives with Damian Mingle
Dec 1, 2016
Chief Data Scientist Damian Mingle discusses building 95% accuracy models, quick wins in data science, and saving lives with data. Topics include developing a sepsis prediction model, using machine learning for West Nile virus prevention, embracing Python and R tools, and exploring the future of data science with a focus on automation and maximizing model accuracy.
Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8
Intro
00:00 • 3min
Data Science at WPC Healthcare
03:29 • 7min
Machine Learning Application in Predicting West Nile Virus Spread
10:21 • 3min
Modeling Natural Phenomena with Data Science Techniques
13:12 • 4min
Embracing Python & R, Integrating Data Science in Healthcare, and Leveraging Kaggle Competitions
17:37 • 28min
Solving the Sepsis Problem Through Data Science
45:54 • 6min
Exploring the Future of Data Science and the Shift Towards Automation
52:23 • 4min
Maximizing Data Science Impact and Accuracy
56:03 • 7min

